Senior Data Engineer
Air Swift
Senior Data Engineer
Job Type: Contract
Location: Remote
Start date: ASAP
End date: 31/08/2025
Recruiter: Ariane Lima
Key words: Data Engineering, ETL, Data Pipelines, AWS, Python, APIs, , SQL, Continuous Integration, SDLC, Cloud-Based Workflows, Big Data, Code Review, Mentoring
We’re looking for a Data Engineer with solid hands-on experience in building and optimizing data pipelines, working with AWS tools, and enabling data-driven decision making across teams. You’ll play a key role in designing scalable cloud-based ETL workflows, integrating large datasets, and collaborating with cross-functional teams.
Responsibilities Design, implement, and improve all aspects of the data pipeline, from ingestion through analysis to visualization, to bring the right data to the right internal customers. Work cross-functionally with other teams at our Customer to ensure the data pipeline (including on the cloud) serves the various internal and external customers of Customer data. Help to advise the Engineering teams on how to approach data engineering and analytics, and be an advocate for data-driven decision making at all levels of Customer by providing data tools that are clean and reliable. Work with the team to understand and prioritize development and sustainment projects and drive toward a product that meets all customer, business, and technical expectations. Collaborate and mentor other junior data engineering team members and participate in peer design and code reviews. Requirements Demonstrated experience creating automated, reproducible data pipelines and working with complex, large data sets. 4+ years working in Data Engineering. 1 or more years experience working with and integrating AWS tools such as Lambda, Athena, API Gateway, Batch, Glue, and RDS. Experience with Big Data technologies such as Data Warehouses or Data Lakes. Experience with relational databases. Experience creating cloud-based ETL workflows. Proficient in Python. Comfortable working with APIs to access data from a variety of sources. Experience with the software development life cycle, modern software/hardware/system testing methods, and continuous integration. Self-motivated and able to identify and fix issues before they become blockers. Excellent written and verbal communication skills. Strong analytical, curious mindset. Unlock your potential with Airswift. Apply now!
About Airswift
Airswift is a global workforce solutions provider specializing in the engineering and technology sectors. With operations spanning over 70 countries, we boast a talent pool of over 9,000 contractors and 1,000 employees. Our unparalleled reach and expertise are unmatched in the industry. Learn more about Airswift at https://www.airswift.com/blog.
Job Type: Contract
Location: Remote
Start date: ASAP
End date: 31/08/2025
Recruiter: Ariane Lima
Key words: Data Engineering, ETL, Data Pipelines, AWS, Python, APIs, , SQL, Continuous Integration, SDLC, Cloud-Based Workflows, Big Data, Code Review, Mentoring
We’re looking for a Data Engineer with solid hands-on experience in building and optimizing data pipelines, working with AWS tools, and enabling data-driven decision making across teams. You’ll play a key role in designing scalable cloud-based ETL workflows, integrating large datasets, and collaborating with cross-functional teams.
Responsibilities Design, implement, and improve all aspects of the data pipeline, from ingestion through analysis to visualization, to bring the right data to the right internal customers. Work cross-functionally with other teams at our Customer to ensure the data pipeline (including on the cloud) serves the various internal and external customers of Customer data. Help to advise the Engineering teams on how to approach data engineering and analytics, and be an advocate for data-driven decision making at all levels of Customer by providing data tools that are clean and reliable. Work with the team to understand and prioritize development and sustainment projects and drive toward a product that meets all customer, business, and technical expectations. Collaborate and mentor other junior data engineering team members and participate in peer design and code reviews. Requirements Demonstrated experience creating automated, reproducible data pipelines and working with complex, large data sets. 4+ years working in Data Engineering. 1 or more years experience working with and integrating AWS tools such as Lambda, Athena, API Gateway, Batch, Glue, and RDS. Experience with Big Data technologies such as Data Warehouses or Data Lakes. Experience with relational databases. Experience creating cloud-based ETL workflows. Proficient in Python. Comfortable working with APIs to access data from a variety of sources. Experience with the software development life cycle, modern software/hardware/system testing methods, and continuous integration. Self-motivated and able to identify and fix issues before they become blockers. Excellent written and verbal communication skills. Strong analytical, curious mindset. Unlock your potential with Airswift. Apply now!
About Airswift
Airswift is a global workforce solutions provider specializing in the engineering and technology sectors. With operations spanning over 70 countries, we boast a talent pool of over 9,000 contractors and 1,000 employees. Our unparalleled reach and expertise are unmatched in the industry. Learn more about Airswift at https://www.airswift.com/blog.
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